Search results for " data analysis"

showing 10 items of 231 documents

Multiband variability studies and novel broadband SED modeling of Mrk 501 in 2009

2017

Astronomy and astrophysics 603, A31 (2017). doi:10.1051/0004-6361/201629540

extragalactic background lightmultiwavelength observationsAstrophysics::High Energy Astrophysical Phenomenabl-lacertae objectsGalaxies: BL Lacertae objects: individual: Markarian 501 ; Methods: data analysis ; observational ; Polarizationspectral energy-distributionFluxFOS: Physical sciencesAstrophysics01 natural scienceslaw.inventionindividual: Markarian 501 [BL Lacertae objects]lawCoincident0103 physical sciencesddc:530MAGIC (telescope)crab-nebulaBlazardata analysis [Methods]010303 astronomy & astrophysicsPhysicsHigh Energy Astrophysical Phenomena (astro-ph.HE)tev blazars010308 nuclear & particles physicsstochastic accelerationtelescope observationsInstitut für Physik und AstronomieAstronomy and AstrophysicsAstronomy and Astrophysicgamma-ray emissionmethods: data analysis520BL Lacertae objects: individual: Markarian 501; Methods: data analysisSynchrotrondata analysi [Methods]BL Lacertae objects: individual: Markarian 501; Methods: data analysis; Astronomy and Astrophysics; Space and Planetary ScienceBL Lacertae objects: individual: Markarian 501x-raySpace and Planetary Scienceddc:520ElectrónicaFísica nuclearElectricidadDegeneracy (mathematics)Astrophysics - High Energy Astrophysical PhenomenaFlareBL Lac object
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Local characteristics of functional marked point processes with applications to seismic data

2022

We present a family of local inhomogeneous mark-weighted summary statistics for general marked point processes. These capture various types of local dependence structures depending on the specified involved weight function. We use them to propose a local random labeling test. This procedure enables us to identify points and thus regions where the random labeling assumption does not hold, for example, when the (functional) marks are spatially dependent. We further present an application to a seismic point pattern with functional marks provided by seismic waveforms. Indeed, despite the relatively long history of point process theory, few approaches to analyzing spatial point patterns where th…

functional data analysisspatio-temporal datapoint processesSettore SECS-S/01 - Statistica
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Meeting the Challenges of High-Dimensional Single-Cell Data Analysis in Immunology

2019

Recent advances in cytometry have radically altered the fate of single-cell proteomics by allowing a more accurate understanding of complex biological systems. Mass cytometry (CyTOF) provides simultaneous single-cell measurements that are crucial to understand cellular heterogeneity and identify novel cellular subsets. High-dimensional CyTOF data were traditionally analyzed by gating on bivariate dot plots, which are not only laborious given the quadratic increase of complexity with dimension but are also biased through manual gating. This review aims to discuss the impact of new analysis techniques for in-depths insights into the dynamics of immune regulation obtained from static snapshot …

lcsh:Immunologic diseases. Allergysingle-cell genomicssingle-cell profilinghigh-dimensional data analysisCyTOFtrajectory inferencelcsh:RC581-607visualizationFrontiers in Immunology
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Understanding the gender gap in STEM careers. A longitudinal data analysis

2019

Este trabajo presenta la aplicación de un análisis longitudinal a los datos del porcentaje de mujeres matriculadas en estudios relacionados con las disciplinas CTIM (STEM, por sus siglas en inglés) en la Escuela Técnica Superior de Ingeniería de la Universitat de València. El objetivo es evaluar el posible impacto del programa desarrollado desde 2011 en esta entidad para promocionar los estudios relacionados con la Ingeniería, especialmente entre las chicas.

longitudinal data analysiswomen in STEM
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Spurious source generation in mapping from noisy phase-self-calibrated data

2008

Phase self-calibration (or selfcal) is an algorithm often used in the calibration of interferometric observations in astronomy. Although a powerful tool, this algorithm presents strong limitations when applied to data with a low signal-to-noise ratio. We analyze the artifacts that the phase selfcal algorithm produces when applied to extremely noisy data. We show how the phase selfcal may generate a spurious source in the sky from a distribution of completely random visibilities. This spurious source is indistinguishable from a real one. We numerically and analytically compute the relationship between the maximum spurious flux density generated by selfcal from noise and the particulars of th…

media_common.quotation_subjectPhase (waves)FOS: Physical sciencesAstrophysicsUNESCO::ASTRONOMÍA Y ASTROFÍSICAAstrophysicsNoise (electronics)Calibrationimage processing [Techniques]UNESCO::ASTRONOMÍA Y ASTROFÍSICA::Otras especialidades astronómicasdata analysis [Methods]Spurious relationshipmedia_commonPhysicsArtifact (error)Techniques : interferometric; Methods : data analysis; Techniques : image processingAstrophysics (astro-ph)Astrophysics::Instrumentation and Methods for AstrophysicsAstronomy and AstrophysicsInterferometryDistribution (mathematics)Space and Planetary ScienceSkyinterferometric [Techniques]Algorithm:ASTRONOMÍA Y ASTROFÍSICA::Otras especialidades astronómicas [UNESCO]:ASTRONOMÍA Y ASTROFÍSICA [UNESCO]Astronomy & Astrophysics
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Functional Data Analysis for ECG Recordings of Paroxysmal Atrial Fibrillation Patients Before and After Pulmonary Vein Isolation

2018

Pulmonary vein isolation is the cornestone of current ablation techniques for patients with paroxysmal atrial fibrillation in order avoid recurrences of the arrhythmia and maintain sinus rhythm. This study aimed to analyse the existence of significant variations in surface ECG after pulmonary vein isolation by means of functional data analysis. 12 consecutive unselected patients suffering from paroxysmal atrial fibrillation who underwent catheter ablation were included in the study. Each patient was monitored in sinus rhythm before and after catheter ablation. P-waves of bipolar lead II were delineated. Functional data were fitted from these segments and the first and second derivatives eva…

medicine.medical_specialtyIsolation (health care)Paroxysmal atrial fibrillationbusiness.industrymedicine.medical_treatmentNon invasiveFunctional data analysisCatheter ablation030204 cardiovascular system & hematologyPulmonary vein03 medical and health sciences0302 clinical medicineInternal medicinemedicineCardiologySinus rhythm030212 general & internal medicinebusinessBipolar lead
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Cavezzo, the first Italian meteorite recovered by the PRISMA fireball network. Orbit, trajectory, and strewn-field

2020

ABSTRACT Two meteorite pieces have been recovered in Italy, near the town of Cavezzo (Modena), on 2020 January 4th. The associated fireball was observed on the evening of New Year’s Day 2020 by eight all-sky cameras of the PRISMA fireball network, a partner of FRIPON. The computed trajectory had an inclination angle of approximately 68° and a velocity at infinity of 12.8 km s−1. Together with the relatively low terminal height, estimated as 21.5 km, those values were indicating the significant possibility of a meteorite dropping event, as additionally confirmed by the non-zero residual total mass. The strewn-field was computed taking into account the presence of two bright light flashes, re…

meteoroids -methods: data analysis -techniques: image processing010502 geochemistry & geophysics01 natural sciencesStrewn fieldmeteorites0103 physical sciencesmeteorsmeteoroids010303 astronomy & astrophysicsmeteoroid0105 earth and related environmental sciencesPhysicsMeteoroidimage processing; meteorites; meteoroids; meteors; methods: data analysis; techniquesmeteorAstronomyAstronomy and Astrophysicsmethods: data analysismeteoriteimage processingMeteoriteSpace and Planetary Science[SDU]Sciences of the Universe [physics]data analysi [methods]TrajectoryOrbit (control theory)techniques
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Misalignment of Spectral Data: Constrained Optimization in a Functional Data Analysis Framework

2022

Across several branches of sciences, a large number of applications involves data represented as functions and curves, for which functional data analysis can play a central role in solving a variety of problem formulations. With some thecnologies, the obtained data are spectra containing a vast amount of information concerning the composition of a sample: in order to infer the chemical composition of the materials from spectra, functional data analysis offers a valuable mean for characterizing the spectral response through identification of peaks position and intensity. The collection of data from different measurement may exhibit similar peak pattern but display misalignment in their peaks…

multple alignment functional data analysis constrained registrationSettore SECS-S/01 - Statistica
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Common functional component modelling

2005

Functional data analysis (FDA) has become a popular technique in applied statistics. In particular, this methodology has received considerable attention in recent studies in empirical finance. In this talk we discuss selected topics of functional principal components analysis that are motivated by financial data.

nonparametric risk management generalized hyperbolic distribution functional data analysisjel:G19jel:C13
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α-decay spectroscopy of the N = 130 isotones 218Ra and 220Th: Mitigation of α-particle energy summing with implanted nuclei

2019

An analysis technique has been developed in order to mitigate energy summing due to sequential short-lived α decays from nuclei implanted into a silicon detector. Using this technique, α-decay spectroscopy of the N=130 isotones 218Ra (Z=88) and 220Th (Z=90) has been performed. The energies of the α particles emitted in the 218Ra→214Rn and 220Th→216Ra ground-state-to-ground-state decays have been measured to be 8381(4) keV and 8818(13) keV, respectively. The half-lives of the ground states of 218Ra and 220Th have been measured to be 25.99(10) μs and 10.4(4) μs, respectively. The half-lives of the ground states of the α-decay daughters, 214Rn and 216Ra, have been measured to be 259(3) ns and …

nuclear data analysis and compilationalpha decayydinfysiikkaspectrometers and spectroscopic techniques
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